Results 111 to 120 of about 45,230 (224)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Root-Weighted Tree Automata and their Applications to Tree Kernels
In this paper, we define a new kind of weighted tree automata where the weights are only supported by final states. We show that these automata are sequentializable and we study their closures under classical regular and algebraic operations. We then use
Mignot, Ludovic +2 more
core
Proceedings 14th International Conference on Automata and Formal Languages
The 14th International Conference Automata and Formal Languages (AFL 2014) was held in Szeged, Hungary, from the 27th to the 29th of May, 2014. The conference was organized by the Department of Foundations of Computer Science of the University of Szeged. Topics of interest covered the theory and applications of automata and formal languages and related
��sik, Zolt��n +1 more
openaire +3 more sources
Generalized rough and fuzzy rough automata for semantic computing. [PDF]
Yadav S, Tiwari SP, Kumari M, Yadav VK.
europepmc +1 more source
Workshop on Formal Languages, Automata and Petri Nets
This report contains abstracts of the lectures presented at the workshop 'Formal Languages, Automata and Petri-Nets' held at the University of Stuttgart on January 16-17, 1998. The workshop brought together partners of the German-Hungarian project No. 233.6, Forschungszentrum Karlsruhe, Germany, and No. D/102, TeT Foundation, Budapest, Hungary.
openaire +2 more sources
Modular Supervisory Control for the Coordination of a Manufacturing Cell with Observable Faults. [PDF]
Kouvakas ND +3 more
europepmc +1 more source
A Novel Feature-Selection Algorithm in IoT Networks for Intrusion Detection. [PDF]
Nazir A +4 more
europepmc +1 more source
Electroactive polymer gels as probabilistic reservoir automata for computation. [PDF]
Strong V, Holderbaum W, Hayashi Y.
europepmc +1 more source

